Visually explore diversified yet relevant scientific resources

Enter a list of dois or a bibtex content.


Spot core papers describing a field as shown below:

Galactic Dark Matter

RMT and Gravity

Hume's Principle


Citation-Graph allows to visually search and identify
  • Central articles within a topic
  • Key Interdisciplinary articles
  • Similar articles to selected articles

How to use

1. Input the DOIs for a group of selected articles or simply copy paste the contents from a bibtex file. See examples: 2. Citation Graph will visually map these articles and their neighboring articles.
  • Each node represents an article and each edge represents a citation link between two articles
  • The color of the nodes corresponds to its cluster that is representative of its Domain
  • Nodes in black correspond to the user input articles
3. Explore the network
  • Hover over a node to highlight its title and its connecting nodes
  • Click on a node to open the corresponding article's webpage
  • Scroll to zoom in and out
  • Left click and drag to pan the view
  • Move the scroll bar to display more or less article titles
  • Type keywords into the search bar to highlight nodes whose titles contain these keywords
  • Logic expressions can be written in the conjunctive normal form 'keyword1, keyword2, keyword3 && keyword4, keyword5 && ...' where the comma encodes a OR and && encodes a AND (OR is evaluated first).

The technology

  • Citation networks map knowledge flows within and across disciplines
  • Citation Graph will expand this article base to include most articles that cite or are cited by the input articles. This step is repeated once more on the expanded articles.
  • If the final group of articles is too large for a reasonable visual exploration, then a few of the least important articles that were added are removed.
  • The expanded group of articles are visually mapped onto to 2D space.
We use data from Crossref and Semantic Scholar.

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